About the Job: Support the design, development, and implementation of scalable data pipelines and architecture for the organization. Ensure data is clean, reliable, and accessible to drive analytics and business intelligence initiatives.
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Location: Dubai, United Arab Emirates (On-site)
Work Conditions: Full-time
Key Responsibilities:
- Support the Director in building and maintaining robust data architecture and solutions.
- Design, construct, install, and maintain large-scale processing systems and data pipelines.
- Extract, transform, and load (ETL) data from a wide variety of sources.
- Implement data governance and data quality best practices.
- Assist in optimizing query performance and monitoring system health.
- Collaborate with data scientists, analysts, and business teams for data enablement.
- Document data processes and system designs for transparency and scalability.
Technical Competencies:
- Strong proficiency in SQL and data modeling.
- Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi).
- Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift).
- Proficiency in Python/Scala for data engineering tasks.
- Understanding of CI/CD practices in data workflows.
- Familiarity with orchestration tools (e.g., Airflow, Prefect).
Essential Qualification:
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
Desirable Qualification:
- Master’s in Data Engineering, Computer Science, or related discipline.
Work Experience:
- 3–5 years of hands-on experience in data engineering or data infrastructure roles.
Language Requirements:
- Not explicitly mentioned.
